| metric | Score |
|---|---|
| accuracy | 0.78 |
| precision | 0.417 |
| recall | 0.346 |
| f1 | 0.379 |
| roc_auc_score | 0.677 |
| pr_auc_score | 0.355 |
| log_loss | 1.14 |
| label | probability |
|---|---|
| 0* | 12.8 % |
| 1 | 87.2 % |
| Reason | Effect |
|---|---|
| Average of population | 23.78% |
| crime_type_Theft_1 = 1.0 | +28.44% |
| crime_month_4_0 = 0.0 | +22.59% |
| crime_type_Violence and sexual offences_0 = 1.0 | +7.13% |
| crime_year_2019_1 = 1.0 | +5.59% |
| crime_type_Drugs_1 = 0.0 | -3.43% |
| crime_type_Criminal damage and arson_1 = 0.0 | +2.06% |
| LSOA_code = 0.22689075767993927 | -1.96% |
| crime_month_11_0 = 1.0 | +1.85% |
| crime_month_7_1 = 0.0 | -1.68% |
| crime_year_2021_1 = 0.0 | +1.47% |
| crime_type_Vehicle crime_0 = 1.0 | -1.4% |
| crime_month_8_1 = 0.0 | +0.85% |
| crime_month_9_0 = 1.0 | +0.74% |
| crime_type_Public order_0 = 1.0 | +0.67% |
| crime_month_1_1 = 0.0 | +0.51% |
| crime_type_Possession of weapons_0 = 1.0 | +0.0% |
| crime_year_2020_0 = 1.0 | +0.0% |
| crime_type_Robbery_1 = 0.0 | +0.0% |
| crime_month_3_0 = 1.0 | +0.0% |
| crime_month_5_1 = 0.0 | +0.0% |
| crime_month_10_0 = 1.0 | +0.0% |
| crime_month_2_1 = 0.0 | +0.0% |
| crime_month_6_0 = 1.0 | +0.0% |
| crime_type_Burglary_1 = 0.0 | +0.0% |
| Other features combined | +0.0% |
| Final prediction | 87.23% |
| label | probability |
|---|---|
| 0 | 99.7 % |
| 1 | 0.3 % |
| Reason | Effect |
|---|---|
| Average of population | 23.78% |
| crime_type_Drugs_1 = 0.0 | -5.66% |
| crime_type_Theft_1 = 0.0 | -4.85% |
| LSOA_code = 0.1805555522441864 | -4.36% |
| crime_type_Vehicle crime_0 = 1.0 | -1.72% |
| crime_type_Violence and sexual offences_0 = 0.0 | -2.31% |
| crime_month_7_1 = 0.0 | -0.6% |
| crime_month_4_0 = 1.0 | -0.33% |
| crime_type_Burglary_1 = 0.0 | +0.0% |
| crime_year_2019_1 = 0.0 | -0.5% |
| crime_type_Possession of weapons_0 = 1.0 | +0.0% |
| crime_type_Criminal damage and arson_1 = 0.0 | +0.0% |
| crime_month_11_0 = 1.0 | +0.0% |
| crime_type_Public order_0 = 1.0 | +0.0% |
| crime_year_2021_1 = 0.0 | +0.0% |
| crime_month_1_1 = 0.0 | +0.0% |
| crime_month_9_0 = 0.0 | -2.97% |
| crime_month_3_0 = 1.0 | -0.21% |
| crime_month_5_1 = 0.0 | +0.0% |
| crime_month_8_1 = 0.0 | +0.0% |
| crime_month_6_0 = 1.0 | +0.0% |
| crime_type_Robbery_1 = 0.0 | +0.0% |
| crime_month_2_1 = 0.0 | +0.0% |
| crime_month_10_0 = 1.0 | +0.0% |
| crime_year_2020_0 = 0.0 | +0.0% |
| Other features combined | +0.0% |
| Final prediction | 0.27% |